Energy Market Quantitative Analyst

Exelon

Philadelphia (Philadelphia County)

On-site

USD 75,000 - 103,000

Full time

7 days ago
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Benefits offered by this job

Annual salary $75,200–$103,400
Annual bonus 10%
401(k) match and company contribution
Medical, dental and vision insurance
Paid time off and leave options
Wellbeing programs and support

Job summary

Exelon seeks a Quantitative Analyst for the Utility of the Future to design and develop proprietary simulation models for portfolio valuation, pricing, risk management and strategic planning for innovative utility platform initiatives. As a member of the Advanced Analytics team, you will collaborate with economists, financial engineers, risk analysts and policy experts.

You will apply quantitative techniques to measure model risks and form opinions on strengths and limitations of models, with a

Qualifications

  • Bachelor's degree in quantitative field.
  • 2–4 years of relevant experience.
  • Strong knowledge of applied and financial mathematics.
  • Proficiency in programming languages and database queries.
  • Familiarity with energy commodity markets and system dynamics.
  • Self-driven and able to lead teams when needed.

Responsibilities

  • Develop valuation, risk management, and pricing models.
  • Create proof-of-concept demonstration systems for new approaches.
  • Translate concepts into robust, scalable system design.
  • Collaborate with analytics teams across ComEd and the Enterprise.

Skills

Predictive analytics
Statistics
Programming languages
Power BI
SQL
Python
Matlab

Education

Bachelor's degree in quantitative field

Tools

Power BI
SQL
Python
Matlab
CC&B

Job description

Exelon seeks a Quantitative Analyst for the Utility of the Future to design and develop proprietary simulation models for portfolio valuation, pricing, risk management and strategic planning for innovative utility platform initiatives. As a member of the Advanced Analytics team, you will collaborate with economists, financial engineers, risk analysts and policy experts.

You will apply quantitative techniques to measure model risks and form opinions on strengths and limitations of models, with a

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